Unified observability gateway for AI agents — one MCP server for Prometheus, Loki, and any backend.
Enables deployment of a Model Context Protocol (MCP) server on Cloudflare Workers without authentication. Allows users to create custom tools and connect them to AI clients like Claude Desktop or Cloudflare AI Playground.
Dockerized MCP Server connected to Obsidian Vault with Local REST API. (rewritten completely with BUN to make it faster and more lightweight)
安装状态
已补齐
命令预览
API_KEY={API_KEY} API_HOST={API_HOST} API_PORT={API_PORT} DEBUG={DEBUG} docker run --name mc...
Enables LLMs like Claude to interact directly with Oracle Cloud Infrastructure resources, supporting dynamic profile switching between tenancies and comprehensive management of compute instances, database systems, and OCI resources through natural language.
Enables AI assistants to inspect, query, and diagnose problems within Octopus Deploy instances. Provides read-only access to deployments, releases, projects, environments, and other DevOps resources to transform AI into your ultimate DevOps wingmate.
The Octopus MCP Server provides your AI assistant with powerful tools that allow it to inspect, query, and diagnose problems within your Octopus instance, transforming it into your ultimate DevOps wingmate.
安装状态
已补齐
命令预览
docker run -i --rm octopusdeploy/mcp-server --server-url https://your-octopus-instance.examp...
全面解析05 Make Your MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,05 Make Your MCP Server能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
Maple is a unified MCP server for agent observability, safety control, and behavior evolution, acting as a monitoring and auditing layer for high-agency agents. It enables developers to capture session timelines, replay risky branches, detect anomalies using ML, and enforce action guardrails.
A deployable MCP server for Cloudflare Workers or Azure Functions that provides example tools (time, echo, math), prompt templates for code assistance, and configuration resources. Enables AI assistants to interact with edge-deployed services through the Model Context Protocol.
A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.
Enables users to manage OpenFGA authorization models, stores, and relationship tuples through natural language. It supports permission checks, batch tuple operations, and the deployment of authorization models across different environments.
A plug-and-play solution that enhances AI assistants by enabling them to create projects, manage configurations, and interact with Openfort's wallet infrastructure through 42 specialized tools.
Enables AI assistants to interact with Openfort's wallet infrastructure, allowing them to create projects, manage configurations, generate wallets and users, and query documentation through 42 integrated tools.
MCP server providing Managed OpenShift infra access via Backplane
Enables comprehensive benchmarking and performance monitoring of OpenShift clusters using OVN-Kubernetes networking through automated data collection, AI-powered analysis, and report generation. Provides intelligent insights into cluster performance, bottleneck detection, and optimization recommendations.
A Model Context Protocol server for managing Oracle Cloud Infrastructure services, enabling LLMs to interact with compute instances, storage, identity, and databases through natural language.
全面解析Oracle Cloud MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Oracle Cloud MCP能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
Connect AI agents to Oracle EPM Cloud (Planning, PBCS, EPBCS) via REST APIs. Automate month-end close, run business rules, manage substitution variables, refresh databases, export data slices, and monitor job status through natural language. Built by Fred Mamadjanov, Oracle ACE and EPM Solution Architect.
Discover artifacts across OCI-compliant registries with ease
Bridges Claude Code to a Cloud Orchestrator API, providing access to multi-AI consensus, web search, code execution sandboxes, long-term memory, knowledge graphs, deployment management, and 20+ integrated AI and developer tools.



